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cc18:winner-take-all-behavior-in-continuous-rate-based-and-discrete-spiking-systems:overview [2018/04/24 09:20]
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cc18:winner-take-all-behavior-in-continuous-rate-based-and-discrete-spiking-systems:overview [2020/01/09 20:31] (current)
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   * and spiking neural networks emulated on neuromorphic hardware.   * and spiking neural networks emulated on neuromorphic hardware.
 Of particular interest are the role of neuronal noise, mismatch, spontaneous activity, refractory period, synaptic delays and spike timing. Of particular interest are the role of neuronal noise, mismatch, spontaneous activity, refractory period, synaptic delays and spike timing.
-Also network size and network ​architecture ​architecture including excitatory and inhibitory connectivity kernels should be considered.+Also network size and network architecture including excitatory and inhibitory connectivity kernels should be considered.
  ​Optionally it might be interesting to explore the role of plasticity.  ​Optionally it might be interesting to explore the role of plasticity.
 Work will be done with matlab (cosivina), python based brian2 and neuromorphic chips (dynap-se). For simulations,​ we will make use of a python package based on Brian2 that has been developed during the last months and the chip equations. Depending on the background of the participants,​ the project can go in a more theoretical (mathematical) or more in a more simulation based direction. Work will be done with matlab (cosivina), python based brian2 and neuromorphic chips (dynap-se). For simulations,​ we will make use of a python package based on Brian2 that has been developed during the last months and the chip equations. Depending on the background of the participants,​ the project can go in a more theoretical (mathematical) or more in a more simulation based direction.
-One result of the workshop should be a tutorial and recipes on how to implement WTA on chip and in spiking networks. 
  
 +There will be an educational and a research component of the workshop. As a main side-effect,​ we will also get a better understanding and intuition of what kinds of computation can be done with WTA.
 +One important result of the workshop will be a tutorial and recipes on how to implement WTA on chip and in spiking networks.
  
-==== Literature (please add)==== ​+ 
 +==== Literature (please add)==== 
 +== Publications mentioned in the special session on 02.05. == 
 +Binzegger, T., Douglas, R. J., & Martin, K. A. (2004). A quantitative map of the circuit of cat primary visual cortex. Journal of Neuroscience,​ 24(39), 8441-8453. 
 + 
 +Hahnloser, R., Douglas, R. J., Mahowald, M., & Hepp, K. (1999). Feedback interactions between neuronal pointers and maps for attentional processing. Nature neuroscience,​ 2(8), 746. 
 + 
 == Books == == Books ==
 Coombes, S., beim Graben, P., Potthast, R., & Wright, J. (Eds.). (2014). Neural fields: theory and applications. Springer. Coombes, S., beim Graben, P., Potthast, R., & Wright, J. (Eds.). (2014). Neural fields: theory and applications. Springer.
 +
 Schöner, G., & Spencer, J. (2015). Dynamic thinking: A primer on dynamic field theory. Oxford University Press. Schöner, G., & Spencer, J. (2015). Dynamic thinking: A primer on dynamic field theory. Oxford University Press.
 == WTA in general == == WTA in general ==
cc18/winner-take-all-behavior-in-continuous-rate-based-and-discrete-spiking-systems/overview.1524561614.txt.gz · Last modified: 2020/01/09 20:31 (external edit)